Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans

BACKGROUND: Multivariate assays (MVAs) for assisting clinical decisions are becoming commonly available, but due to complexity, are often considered a high-risk approach. A key concern is that uncertainty on the assay's final results is not well understood. This study focuses on developing a pr...

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Detalles Bibliográficos
Autores principales: Ebbert, Mark TW, Bastien, Roy RL, Boucher, Kenneth M, Martín, Miguel, Carrasco, Eva, Caballero, Rosalía, Stijleman, Inge J, Bernard, Philip S, Facelli, Julio C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3275466/
https://www.ncbi.nlm.nih.gov/pubmed/22196354
http://dx.doi.org/10.1186/2043-9113-1-37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3275466/
https://www.ncbi.nlm.nih.gov/pubmed/22196354
http://dx.doi.org/10.1186/2043-9113-1-37

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